Staff Data Analyst

🕒 February 27

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Fanatics, Inc.

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2011

🎮 Gaming

🛒 Retail

🛍️ eCommerce

Gaming • Retail • eCommerce

Fanatics is building a leading global digital sports platform that aims to enhance the fan experience for over 100 million sports enthusiasts worldwide. The company operates across several divisions including Fanatics Commerce, Fanatics Collectibles, and Fanatics Betting & Gaming. They offer fans the opportunity to buy licensed fan gear, jerseys, lifestyle products, and headwear, collect physical and digital trading cards, sports memorabilia, and other digital assets, as well as engage in sports betting. Fanatics partners with over 900 sports properties globally, including major leagues, teams, and athletes, and operates more than 2,000 retail locations. The company is committed to corporate responsibility with a focus on philanthropy, diversity and inclusion, brand protection, and sustainability.

📋 Description

• Build the initial data models and analytics infrastructure from the ground up for the newly launching DFS product. • Measure the incrementality and impact of new features through rigorous experimentation and statistical modeling. • Act as the primary data partner for the Principal Product Manager and the CPO of FMX, providing insights that directly shape product strategy. • Deliver high-quality SQL queries, data modeling in dbt, and automated reporting to meet the high demand for insights across the FMX ecosystem. • Partner with data scientists and engineers to find solutions to complex business problems and maintain the 'research lab to factory floor' connection.

🎯 Requirements

• A minimum of 5 years of proven experience in an analytics role, ideally within a high-growth fintech or sports betting environment. • Strong SQL proficiency and hands-on experience with dbt for data modeling are essential. • Expertise in cloud data warehouses such as Snowflake or Databricks. Proficiency in Python is preferred. • Strong understanding of statistical concepts, multivariate testing, and experimentation frameworks. • Ability to present complex technical insights to non-technical senior stakeholders with clarity and business context. • A degree in a relevant field such as Mathematics, Statistics, Engineering, or Computer Science.

🏖️ Benefits

• Remote employee may also be eligible for a home office setup stipend. • Interview and onboarding experience may include in-person components. • Multi-day cultural immersion in New York City for full-time hires.